AI Article Synopsis
- The study utilizes an efficient algorithm called Automat to systematically identify shared oligopeptides between a specific protein and all sequences in a databank.
- Automat generates statistics on these shared oligopeptides.
- The application of Automat on HIV-1 proteins helps to uncover potential critical sites and identify candidate viral antigens that could lead to autoimmune disorders, along with a list of similarities between HIV-1 and human proteins.
Article Abstract
We have designed an efficient algorithm in order to detect systematically all the oligopeptides shared by a given protein with all the protein sequences in a databank. This software, Automat, also makes statistics on the number of shared oligopeptides. In the present study, we apply Automat on HIV-1 proteins to detect putative critical sites and to identify candidate viral antigens that may trigger autoimmune disorders. A list of pertinent similarities between HIV-1 proteins and human proteins, as detected by Automat, is reported.
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| http://dx.doi.org/10.1016/0753-3322(94)90186-4 | DOI Listing |
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